CoCo Super Intelligence

Summon an advisory board of 495 world-class minds inside the AI coding session you already use, then 227 skills[^installed], 386 commands, and disk-persistent state that ship the decision.

Open-core: the core is MIT, and Super Intelligence is proprietary. Files stay on your machine. No telemetry. A version check may contact GitHub once a day.

Why it exists

A hard call in a coding session usually gets one model's opinion, with no name on it and no record of who disagreed. CoCo seats a cross-team board of 495 named experts, each answering from cited public stances, and returns one pick plus the dissent. The same install carries the skills and commands that do the work after the verdict, and writes phase state to disk so a cleared chat does not erase the plan. It is not a new model and not a new harness. It installs into the one you already run.

See it

Personas are simulated from public writing and are not the views of any real person. See the persona disclaimer.

An illustration built from a real /SI-Decide run (Claude Sonnet 5.5, 30 September 2026, US$0.41). Persona names are replaced with role archetypes and the output is trimmed for length; no other words are changed. The full output, with the same replacements, is in docs/readme/terminal/si-decide-full.md. Note what it admits: the embedding router was offline, so it fell back to keywords, and stances applied beyond their source are marked extrapolated.

Quick start

Prerequisites: git, bash, Node.js 14 or newer (for npx), and python3 (it generates the /SI-* commands).

npx cocosuperintelligence installs the latest release. It clones the pinned release tag (currently v1.5.0, not floating main) into ./coco of the current directory, then runs install.sh. Run it from your home folder, so the clone is ~/coco and not a folder inside another project. On a fresh machine it took about 3 minutes, including the download.

npx cocosuperintelligence

Open Claude Code and run:

/SI-Decide "Should a 10-person startup move its public REST API to GraphQL this quarter?"

Newest main, which is ahead of that pin:

git clone https://github.com/coco-research/coco.git ~/coco && bash ~/coco/install.sh

Adapter flags and bundle selection: docs/install.md.

What it does

• Get one clear pick on a hard call, with the disagreement named and each stance cited.
• Ask in one line. /SI-Decide seats 16-32 of 495 personas across 13 departments. Add --debate for reaction rounds.
• Keep going after /clear. Decisions, phase state, and progress stay on disk.
• Install into Claude Code, Cursor, Codex, VS Code, or another adapter. Your model and your keys stay yours.
• Carry the verdict into the work: planning, review, verification, PRDs, and a pull request, with gates that have real exit codes.
• Stay local. CoCo adds no analytics. Set COCO_NO_UPDATE_CHECK=1 to skip the daily GitHub version check.

How it works

You type a question. The orchestrator scores 495 personas across 13 departments on domain fit, cell coverage, and productive conflict, then seats 16-32. Each seated persona answers from its cited public stances. --debate adds reaction rounds before the tally. The decision is one pick, the dissents are named, and a stance check flags anything that does not trace to a source.

How the router scores teams: systems/superintelligence/README.md. What each editor actually receives: adapters/INDEX.md.

Status and roadmap

Released: v1.5.0 on npm. Today npx installs v1.5.0. That tag already contains the 13 Super Intelligence team skill files, but its installer does not install them as front doors. That fix, and several other installer fixes, are on main. The measured 189 skills / 386 commands / 34 agents (docs/delivered-counts.json) apply to main.

Known gap: most GSD skills need the upstream GSD toolkit at ~/.claude/get-shit-done (see systems/gsd/README.md).

Next three milestones:

1. v1.6.0, so npx installs what main already has.
2. Bundle the GSD runtime, so those skills work without a separate toolkit.
3. Installer safety: an uninstall guard, and a clearer clone location.

From a checkout you already have, bash install.sh auto-detects the editor. Narrow it with --adapter cursor or --systems gsd,brain. --core-only skips bundles. reverse-skill stays opt-in: --systems reverse-skill.

The remote bootstrap clones the pinned release tag (currently v1.5.0, not floating main) to ~/.coco, prints the commit, and waits for you to type y before it runs install.sh:

bash <(curl -fsSL https://raw.githubusercontent.com/coco-research/coco/main/bin/coco-bootstrap.sh)

npx cocosuperintelligence update checks out the pinned release tag. A git clone updates with git pull --ff-only && bash install.sh. bash scripts/check-update.sh prints the version. The check contacts GitHub at most once a day and sends no telemetry.

Uninstall removes symlinks whose target is this clone, and only those. Run it from the clone root:

CLONE="$(pwd)"
find ~/.claude ~/.cursor ~/.grok ~/.copilot -type l -lname "${CLONE}/*" -delete

A contains-match on the folder name would also delete links into a path that merely contains that name (for example coco-research when the clone is coco). Hermes profiles live under ~/.hermes/profiles; use the same "${CLONE}/*" prefix there. Uninstall does not remove the generated SI*.md command files or the rules block between <!-- coco:rules-start --> and <!-- coco:rules-end --> in CLAUDE.md; delete those by hand.

The board

Super Intelligence summons a panel inside the session you already have open. Every contribution is attributed to a named expert and grounded in a cited public source.

/SI-Decide "Should we migrate our database to pgvector?"
/SI-AI-Decide "Which embedding model gives the best cost/performance?"
/SI-Eng-Pre-Mortem "Review our zero-downtime cache migration strategy"
/SI-GRC-Review "Check this customer onboarding flow for GDPR compliance"

495 expert personas, organized across 13 specialized departments:

• 342 generated slash commands. 17 cross-team commands (/SI-Decide, /SI-Tradeoff) plus 325 per-team commands (25 verbs × 13 teams, such as /SI-AI-Decide). Generated on your machine at install time. Nothing is uploaded.
• 98 expertise cells. Departments are split into cells so the router can seat a precise panel. The count is the sum of the cells fields in [systems/superintelligence/registry.json](systems/superintelligenc